Data & AI Platform Engineering Lead (H/F)

Dé un paso adelante y deje que Edenred le sorprenda.
Cada día, ofrecemos soluciones innovadoras para mejorar la vida de millones de personas, conectando a empleados, empresas y comerciantes de todo el mundo.
Sabemos que hay cientos de formas de que crezcas. Con nosotros, ampliarás tus habilidades en un entorno multicultural, desafiante y dinámico.Atrévase a unirse a Edenred y prepárese para prosperar en una empresa global que le ofrecerá un sinfín de oportunidades.En Edenred todo gira en torno a la meritocracia. Vienes como eres y contribuyes. De hecho, el Grupo Edenred reconoce, contrata y desarrolla todos los talentos y singularidades.
Nos comprometemos a evitar toda forma de discriminación y a ofrecer a todos nuestros candidatos igualdad de oportunidades independientemente de su sexo y expresión de género, discapacidad, origen, creencias religiosas y orientación sexual o cualquier otro criterio.# YOUR ROLEIn close collaboration with asset teams, integration engineers, SRE, and product squads, the Data & AI Platform Engineering Lead acts as the technical owner of Edenred’s Data & AI platform foundations.
As a player-coach, the role both designs and builds core platform capabilities (Databricks, Unity Catalog, infrastructure, CI/CD, agent runtime primitives) and coaches teams to use the platform correctly. The role ensures the platform is secure, scalable, observable, interoperable, and AI-ready, while enabling autonomy and reuse across geographies and business lines.## Responsibilitiesâ€
¢ Own the Data & AI platform roadmap as a product (Databricks, Unity Catalog, infrastructure, shared services)â€
¢ Design and implement core platform building blocks (workspaces, catalogs, compute policies, environments)â€
¢ Enforce security, access control, and isolation by designâ€
¢ Ensure the platform supports data, AI, and agentic workloads consistentlyâ€
¢ Contribute hands-on to critical platform components and upgradesâ€
¢ Define and operate the platform-level agent interoperability layerâ€
¢ Ensure agents can interoperate across runtimes (Databricks agents, Salesforce Agentforce, internal services)â€
¢ Treat agent interfaces as first-class platform APIs, versioned and governedâ€
¢ Partner with SRE to embed observability, reliability, FinOps into platform primitivesâ€
¢ Co-own CI/CD frameworks and guardrails (policy-as-code, quality gates)â€
¢ Participate as a standing member of the Design Authorityâ€
¢ Enable discovery, sandboxing, and fast-track experimentation safelyâ€
¢ Prevent platform fragmentation and shadow architectures#

YOUR PROFILE
## Technical & Engineeringâ€
¢ Strong background in platform and software engineeringâ€
¢ Deep expertise with Databricks & Lakehouse architectures (Unity Catalog, security, serverless)â€
¢ Solid understanding of data engineering and AI enablement needsâ€
¢ Working knowledge of agent runtimes, tool/function protocols, and A2A interaction patternsâ€
¢ Comfortable with cloud infrastructure, IAM, networking, and infrastructure-as-code## Player-Coach Mindsetâ€
¢ Hands-on engineer able to design, build, and debug core systemsâ€
¢ Coaches teams through patterns, reviews, and enablement rather than controlâ€
¢ Raises engineering standards through example## Collaboration & Influenceâ€
¢ Able to influence architecture and usage without hierarchical authorityâ€
¢ Clear communicator with engineers, architects, and leadersâ€
¢ Pragmatic, anti-dogmatic; standards exist to enable teamsâ€
¢ Comfortable arbitrating trade-offs between simplicity, flexibility, and scaleAplica ahora y vibra con nosotros